We are aware of the existence of non-deep-learning-based methods to do edge detection (e.g., Canny [1]}, Sobel [2]}, hierarchical method [3]}) or distance transform (e.g., mathematical morphology [2]}).
We plan to use these auxiliary tasks only in the training phase, and not as final tasks that would replace the existing methods.
The multi-task setup is to provide complementary information to the latent space and adjust the SS task.
Additionally, we evaluate the impact of each auxiliary task.
